4 citations · 10 across the 4 of their papers we have counts for
4 papers
Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach
Shijie Pan, Aoran Cheng, Yiqi Sun +4
Drone swarms coupled with data intelligence can be the future of wildfire fighting. However, drone swarm firefighting faces enormous challenges, such as the highly complex environm…
Two Scalable Approaches for Burned-Area Mapping Using U-Net and Landsat Imagery
Ian Mancilla-Wulff, Jaime Carrasco, Cristobal Pais +2
Monitoring wildfires is an essential step in minimizing their impact on the planet, understanding the many negative environmental, economic, and social consequences. Recent advance…
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators
Jaime Carrasco, Cristobal Pais, Zuo-Jun Max Shen +1
In practical applications, it is common that wildfire simulators do not correctly predict the evolution of the fire scar. Usually, this is caused due to multiple factors including…
Cell2Fire: A Cell Based Forest Fire Growth Model
Cristobal Pais, Jaime Carrasco, David L. Martell +2
Cell2Fire is a new cell-based forest and wildland landscape fire growth simulator that is open-source and exploits parallelism to support the modelling of fire growth cross large s…